2 of 2 Remote Data Engineering Jobs in Staffordshire

This role represents an exciting opportunity for a high-performing Data Engineer to help shape and strengthen the organisation’s data engineering and analytics capability within its AWS-based environment. We’re ideally looking for someone with strong hands-on experience across AWS services, Airflow, Python, and SQL. You’ll play a key role in designing, building … and maintaining modern data infrastructure that powers insight-led decision-making across the business. Working within a small, supportive team, you’ll collaborate with analysts, data scientists, and key stakeholders to deliver practical, scalable solutions that make a real impact. Key Responsibilities Design, build, and maintain robust, scalable ETL/ELT pipelines using tools such as Airflow and … AWS services (S3, Redshift, Glue, Lambda, Athena). Integrate new data sources and continuously optimise performance and cost efficiency. Ensure data quality, integrity, and security across all systems. Maintain clear documentation for data processes and pipelines. Partner with analysts, data scientists, and product teams to translate requirements into reliable technical solutions. Contribute to agile ceremonies, ensuring More ❯

As a Business Intelligence Analyst, you will play a key role in driving data-informed decision-making by delivering insightful analyses and reports. You will contribute to gathering, analysing, and visualising data to uncover trends and actionable insights that enhance business operations, customer satisfaction, and overall performance. Working closely with cross-functional teams, you will leverage tools such … develop, and optimise Power BI dashboards and interactive reports tailored to various stakeholders and needs. Automate and streamline recurring reports to improve efficiency and reduce manual effort. Translate complex data into visually intuitive reports that cater to both technical and non-technical audiences. Write and optimise advanced SQL queries to extract, transform, and analyse data. Design and implement data models to support reporting and analysis needs. Ensure data pipelines are efficient, reliable, and scalable. Track and report on Key Performance Indicators (KPIs) across multiple business areas and divisions. Highlight trends and anomalies to seniors and managers, while also analysing and resolving them to ensure a clear understanding of root causes and implementing necessary solutions. Work closely with More ❯